Empirical cumulative distribution functions
Provides empirical cumulative distribution functions (CDFs) (or "empirical distribution functions" as they are know to probabalists). The last version to support Julia v0.5 is v0.0.2.
See the documentation https://jlapeyre.github.io/EmpiricalCDFs.jl/latest.
EmpiricalCDFs implements empirical CDFs; building, evaluating, random sampling, evaluating the inverse, etc.
It is useful especially for examining the
tail of the CDF obtained from streaming a large number of data, more than can be stored in memory.
For this purpose, you specify a lower cutoff; data points below this value will be silently rejected, but the
resulting CDF will still be properly normalized. This ability to process and filter data online
is absent in StatsBase.ecdf.